from typing import Any, List, Set

from colorama import Fore, Style

class DataSourceNotFoundException(Exception):

def __init__(self, path):

super().__init__(

f"Unable to find table at '{path}'. Please check that table exists."

)

class DataSourceNoNameException(Exception):

def __init__(self):

super().__init__(

"Unable to infer a name for this data source. Either table or name must be specified."

)

class FeastObjectNotFoundException(Exception):

pass

class EntityNotFoundException(FeastObjectNotFoundException):

def __init__(self, name, project=None):

if project:

super().__init__(f"Entity {name} does not exist in project {project}")

else:

super().__init__(f"Entity {name} does not exist")

class FeatureServiceNotFoundException(FeastObjectNotFoundException):

def __init__(self, name, project=None):

if project:

super().__init__(

f"Feature service {name} does not exist in project {project}"

)

else:

super().__init__(f"Feature service {name} does not exist")

class FeatureViewNotFoundException(FeastObjectNotFoundException):

def __init__(self, name, project=None):

if project:

super().__init__(f"Feature view {name} does not exist in project {project}")

else:

super().__init__(f"Feature view {name} does not exist")

class OnDemandFeatureViewNotFoundException(FeastObjectNotFoundException):

def __init__(self, name, project=None):

if project:

super().__init__(

f"On demand feature view {name} does not exist in project {project}"

)

else:

super().__init__(f"On demand feature view {name} does not exist")

class RequestDataNotFoundInEntityDfException(FeastObjectNotFoundException):

def __init__(self, feature_name, feature_view_name):

super().__init__(

f"Feature {feature_name} not found in the entity dataframe, but required by feature view {feature_view_name}"

)

class RequestDataNotFoundInEntityRowsException(FeastObjectNotFoundException):

def __init__(self, feature_names):

super().__init__(

f"Required request data source features {feature_names} not found in the entity rows, but required by feature views"

)

class DataSourceObjectNotFoundException(FeastObjectNotFoundException):

def __init__(self, name, project=None):

if project:

super().__init__(f"Data source {name} does not exist in project {project}")

else:

super().__init__(f"Data source {name} does not exist")

class S3RegistryBucketNotExist(FeastObjectNotFoundException):

def __init__(self, bucket):

super().__init__(f"S3 bucket {bucket} for the Feast registry does not exist")

class S3RegistryBucketForbiddenAccess(FeastObjectNotFoundException):

def __init__(self, bucket):

super().__init__(f"S3 bucket {bucket} for the Feast registry can't be accessed")

class SavedDatasetNotFound(FeastObjectNotFoundException):

def __init__(self, name: str, project: str):

super().__init__(f"Saved dataset {name} does not exist in project {project}")

class FeastProviderLoginError(Exception):

"""Error class that indicates a user has not authenticated with their provider."""

class FeastProviderNotImplementedError(Exception):

def __init__(self, provider_name):

super().__init__(f"Provider '{provider_name}' is not implemented")

class FeastProviderNotSetError(Exception):

def __init__(self):

super().__init__("Provider is not set, but is required")

class FeastFeatureServerTypeSetError(Exception):

def __init__(self, feature_server_type: str):

super().__init__(

f"Feature server type was set to {feature_server_type}, but the type should be determined by the provider"

)

class FeastFeatureServerTypeInvalidError(Exception):

def __init__(self, feature_server_type: str):

super().__init__(

f"Feature server type was set to {feature_server_type}, but this type is invalid"

)

class FeastModuleImportError(Exception):

def __init__(self, module_name: str, class_name: str):

super().__init__(

f"Could not import module '{module_name}' while attempting to load class '{class_name}'"

)

class FeastClassImportError(Exception):

def __init__(self, module_name: str, class_name: str):

super().__init__(

f"Could not import class '{class_name}' from module '{module_name}'"

)

class FeastExtrasDependencyImportError(Exception):

def __init__(self, extras_type: str, nested_error: str):

message = (

nested_error

+ "\n"

+ f"You may need run {Style.BRIGHT + Fore.GREEN}pip install 'feast[{extras_type}]'{Style.RESET_ALL}"

)

super().__init__(message)

class FeastOfflineStoreUnsupportedDataSource(Exception):

def __init__(self, offline_store_name: str, data_source_name: str):

super().__init__(

f"Offline Store '{offline_store_name}' does not support data source '{data_source_name}'"

)

class FeatureNameCollisionError(Exception):

def __init__(self, feature_refs_collisions: List[str], full_feature_names: bool):

if full_feature_names:

collisions = [ref.replace(":", "__") for ref in feature_refs_collisions]

error_message = (

"To resolve this collision, please ensure that the feature views or their own features "

"have different names. If you're intentionally joining the same feature view twice on "

"different sets of entities, please rename one of the feature views with '.with_name'."

)

else:

collisions = [ref.split(":")[1] for ref in feature_refs_collisions]

error_message = (

"To resolve this collision, either use the full feature name by setting "

"'full_feature_names=True', or ensure that the features in question have different names."

)

feature_names = ", ".join(set(collisions))

super().__init__(

f"Duplicate features named {feature_names} found.\n{error_message}"

)

class SpecifiedFeaturesNotPresentError(Exception):

def __init__(self, specified_features: List[str], feature_view_name: str):

features = ", ".join(specified_features)

super().__init__(

f"Explicitly specified features {features} not found in inferred list of features for '{feature_view_name}'"

)

class FeastOnlineStoreInvalidName(Exception):

def __init__(self, online_store_class_name: str):

super().__init__(

f"Online Store Class '{online_store_class_name}' should end with the string `OnlineStore`.'"

)

class FeastInvalidBaseClass(Exception):

def __init__(self, class_name: str, class_type: str):

super().__init__(

f"Class '{class_name}' should have `{class_type}` as a base class."

)

class FeastOnlineStoreUnsupportedDataSource(Exception):

def __init__(self, online_store_name: str, data_source_name: str):

super().__init__(

f"Online Store '{online_store_name}' does not support data source '{data_source_name}'"

)

class FeastEntityDFMissingColumnsError(Exception):

def __init__(self, expected, missing):

super().__init__(

f"The entity dataframe you have provided must contain columns {expected}, "

f"but {missing} were missing."

)

class FeastJoinKeysDuringMaterialization(Exception):

def __init__(

self, source: str, join_key_columns: Set[str], source_columns: Set[str]

):

super().__init__(

f"The DataFrame from {source} being materialized must have at least {join_key_columns} columns present, "

f"but these were missing: {join_key_columns - source_columns} "

)

class DockerDaemonNotRunning(Exception):

def __init__(self):

super().__init__(

"The Docker Python sdk cannot connect to the Docker daemon. Please make sure you have"

"the docker daemon installed, and that it is running."

)

class RegistryInferenceFailure(Exception):

def __init__(self, repo_obj_type: str, specific_issue: str):

super().__init__(

f"Inference to fill in missing information for {repo_obj_type} failed. {specific_issue}. "

"Try filling the information explicitly."

)

class BigQueryJobStillRunning(Exception):

def __init__(self, job_id):

super().__init__(f"The BigQuery job with ID '{job_id}' is still running.")

class BigQueryJobCancelled(Exception):

def __init__(self, job_id):

super().__init__(f"The BigQuery job with ID '{job_id}' was cancelled")

class RedshiftCredentialsError(Exception):

def __init__(self):

super().__init__("Redshift API failed due to incorrect credentials")

class RedshiftQueryError(Exception):

def __init__(self, details):

super().__init__(f"Redshift SQL Query failed to finish. Details: {details}")

class RedshiftTableNameTooLong(Exception):

def __init__(self, table_name: str):

super().__init__(

f"Redshift table names have a maximum length of 127 characters, but the table name {table_name} has length {len(table_name)} characters."

)

class SnowflakeCredentialsError(Exception):

def __init__(self):

super().__init__("Snowflake Connector failed due to incorrect credentials")

class SnowflakeQueryError(Exception):

def __init__(self, details):

super().__init__(f"Snowflake SQL Query failed to finish. Details: {details}")

class EntityTimestampInferenceException(Exception):

def __init__(self, expected_column_name: str):

super().__init__(

f"Please provide an entity_df with a column named {expected_column_name} representing the time of events."

)

class InvalidEntityType(Exception):

def __init__(self, entity_type: type):

super().__init__(

f"The entity dataframe you have provided must be a Pandas DataFrame or a SQL query, "

f"but we found: {entity_type} "

)

class ConflictingFeatureViewNames(Exception):

# TODO: print file location of conflicting feature views

def __init__(self, feature_view_name: str):

super().__init__(

f"The feature view name: {feature_view_name} refers to feature views of different types."

)

class ExperimentalFeatureNotEnabled(Exception):

def __init__(self, feature_flag_name: str):

super().__init__(

f"You are attempting to use an experimental feature that is not enabled. Please run "

f"`feast alpha enable {feature_flag_name}` "

)

class RepoConfigPathDoesNotExist(Exception):

def __init__(self):

super().__init__("The repo_path attribute does not exist for the repo_config.")

class AwsLambdaDoesNotExist(Exception):

def __init__(self, resource_name: str):

super().__init__(

f"The AWS Lambda function {resource_name} should have been created properly, but does not exist."

)

class AwsAPIGatewayDoesNotExist(Exception):

def __init__(self, resource_name: str):

super().__init__(

f"The AWS API Gateway {resource_name} should have been created properly, but does not exist."

)

class IncompatibleRegistryStoreClass(Exception):

def __init__(self, actual_class: str, expected_class: str):

super().__init__(

f"The registry store class was expected to be {expected_class}, but was instead {actual_class}."

)

class FeastInvalidInfraObjectType(Exception):

def __init__(self):

super().__init__("Could not identify the type of the InfraObject.")

class SnowflakeIncompleteConfig(Exception):

def __init__(self, e: KeyError):

super().__init__(f"{e} not defined in a config file or feature_store.yaml file")

class SnowflakeQueryUnknownError(Exception):

def __init__(self, query: str):

super().__init__(f"Snowflake query failed: {query}")

class InvalidFeaturesParameterType(Exception):

def __init__(self, features: Any):

super().__init__(

f"Invalid `features` parameter type {type(features)}. Expected one of List[str] and FeatureService."

)